Machine Learning Zero to Hero: Step by Step with Python

Learn Machine Learning from Scratch, Build Real Models and Master Python & Scikit-Learn

Sub Category

• Data Science

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Objectives

• Understand core machine learning concepts and workflow
• Build regression and classification models in Python
• Apply clustering techniques for unsupervised learning
• Clean and preprocess real-world datasets
• Perform feature engineering and feature selection
• Evaluate and optimize model performance
• Use Scikit-Learn to build production-ready models
• Complete practical projects for your portfolio

Pre Requisites

1. No prior programming experience

FAQ

• Q. How long do I have access to the course materials?
  • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
• Q. Can I take my courses with me wherever I go?
  • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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